Ouchithya H R
Perumbavoor
Summary
Transforming Data into Insights: A Data Science Engineer with a unique perspective and a strong passion towards numbers. Continuously striving to enhance data science skills and knowledge to tackle complex problems with creative and effective solutions.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Planning Engineer
Intrans Electro Components
08.2018 - 03.2019
- Planned and scheduled projects to meet production goals and deadlines
- Coordinated with purchase, production, and testing teams to ensure timely delivery of materials and finished products
- Developed and maintained inventory management system to optimize production efficiency and reduce waste
- Evaluated vendor proposals for contract awarding, ensuring compliance with specifications and delivery timelines.
Software Developer Intern
Lab Factory Ventures Private Limited
06.2017 - 09.2017
- Web application development in Node JS and Mongo
- Collaborated with senior developers in implementing and
developing new features, write unit tests and fixing issues.
Education
Post Graduate Program in Data Science -
Great Lakes Institute of Management
Chennai, Tamil Nadu04.2023
Bachelor of Technology - Information Technology
Christian College of Engineering And Technology
Dindigul, Tamil Nadu05.2017
Skills
- Data Cleaning and Data Wrangling: Python,SQL
- Statistical Analysis
- Data Visualization: Tableau,Power Bi
- Machine Learning and Predictive Modelling :NLP
- Data Interpretation and Communication
- Software Proficiency and Programming: MS Excel
Certification
- SQL for Data Analysis
- Introduction to Tableau
- Supervised Learning Essential Training
Projects
Diabetes Prediction through Machine Learning:The distribution of data was learned through exploratory data analysis and data visualization. Smote Analysis was done to treat the imbalance in the target variable. Classification models were built to find the best fit as Random Forest Classifier with a Recall score of 88% .
Sentiment Analysis on Amazon Reviews:To uncover patterns and identify the distribution of the data, exploratory data analysis was performed. A Sentiment Analysis Classifier was created with NLTK's VADER and RoBERTa Transformers.
House Price Prediction-Advanced Regression Techniques: Data cleaning and statistical analysis were done on the data. Regression models such as linear regression and XGB regressor were built. To improve the efficiency of the model Hyper parameter tuning and Boosting were performed.
Timeline
Planning Engineer
Intrans Electro Components
08.2018 - 03.2019
Software Developer Intern
Lab Factory Ventures Private Limited
06.2017 - 09.2017
- SQL for Data Analysis
- Introduction to Tableau
- Supervised Learning Essential Training
Post Graduate Program in Data Science -
Great Lakes Institute of Management
Bachelor of Technology - Information Technology
Christian College of Engineering And Technology
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